Name | n3_chennan_CS_peijian_yiparts_com_chexing |
---|---|
Data | 76.38M (+ 0B) |
Tables | 5 (+ 0) |
Columns | 33 (+ 0) |
Table Rows | 494,186 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
这是一个中国市场下的51,714个车型数据库。每个车型包含有中文名,英文名,发动机,功率,排量,缸,类型和年份。这些车型来自294个品牌和6,479个年份。该中国市场车型数据库共有5个表。
This China cars database is filled with 51,714 cars from 294 brands and 6,479 years in Chinese market. Each car is comprised of Chinese name, English name, engine, power, displacement, cylinder, type and year. There are 5 tables in the whole Chinese market cars database.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
category_1 | 76,747 | zhongwenming |
100%
|
yingwenming |
100%
|
||
nianfen_id |
100%
|
||
nianfen |
100%
|
||
category_1_x_chexing | 358,952 | category_1_id |
100%
|
chexing_id |
100%
|
||
chexing | 51,714 | zhongwenming |
100%
|
fadongji |
80.92%
|
||
gonglv |
100%
|
||
pailiang |
100%
|
||
yingwenming |
100%
|
||
gang |
99.26%
|
||
leixing |
99.89%
|
||
nainfen |
100%
|
||
nianfen | 6,479 | title |
100%
|
pinpai_id |
100%
|
||
pinpai |
100%
|
||
pinpai | 294 | title |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 76.38M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 76.38M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 76.38M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 76.38M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 76.38M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 76.38M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 76.38M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 76.38M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 76.38M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 76.38M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 76.38M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 76.38M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 76.38M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 76.38M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 76.38M (+ 14.05M) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 62.33M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 62.33M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 62.33M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 62.33M (+ 0B) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 62.33M (+ 24.47M) | 5 (+ 0) | 33 (+ 0) | 494,186 (+ 275,582) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 | 37.86M | 5 | 33 | 218,604 | 0B | 0 |
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